Research on the Application of the Time-Serial Analysis Based Kalman Filter in MEMS Gyroscope Random Drift Compensation
Jun Liu
Abstract
Jun Liu
Abstract
The compensating method for MEMS gyroscope random drift error is discussed. First its drift error model is created by using the time-serial analysis, then the process of decreasing this drift error by making use of Kalman filter based on the above error model is expounded. The compensating results for the practical testing data of a MEMS gyroscope show, the drift error can be controlled effectively by the filtering method presented, and its application precision in practical system can be further proved.
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The compensating method for MEMS gyroscope random drift error is discussed. First its drift error model is created by using the time-serial analysis, then the process of decreasing this drift error by making use of Kalman filter based on the above error model is expounded. The compensating results for the practical testing data of a MEMS gyroscope show, the drift error can be controlled effectively by the filtering method presented, and its application precision in practical system can be further proved.
Key concepts: Kalman filter, Gyroscope, Vibrating structure gyroscope, Microelectromechanical systems, Rate integrating gyroscope, Control theory (sociology), Compensation (psychology), Random error